As president and CEO of Scripps Health, one of America's most prestigious health systems, Chris Van Gorder presided over a dramatic turnaround, catapulting Scripps from near bankruptcy to a dominant market position. While hospitals and health systems nationwide have laid people off or are closing their doors, Scripps is financially healthy, has added thousands of employees (even with a no-layoff philosophy), and has developed a reputation as a top employer. What are the secrets to this remarkable story?

His work is cited by the world's best-known thought leaders, from Steve Jobs to Malcolm Gladwell. In this classic best seller - one of the most influential business books of all time - innovation expert Clayton Christensen shows how even the most outstanding companies can do everything right - yet still lose market leadership. Christensen explains why most companies miss out on new waves of innovation.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

The digital revolution has transformed the world of media, upending centuries-old companies and business models. Now, it is restructuring every business, every job, and every sector of society. Yet the biggest changes are still ahead. To survive, every industry and organization will have to transform itself in multiple ways. O'Reilly explores what the next economy will mean for the world and every aspect of our lives - and what we can do to shape it.

In business, performance is key. In performance, how you organize can be the key to growth. In the past five years, the business world has seen the birth of a new breed of company - the Exponential Organization - that has revolutionized how a company can accelerate its growth by using technology.

The runaway success of the microchip may finally be reaching its end. As shrinking transistors approach the size of atoms, the phenomenal growth of computational power inevitably collapses. But this change heralds the birth of a revolutionary new type of computer, one that calculates on atoms themselves. Quantum computers promise unprecedented gains in computing power, enabling advancements that could overturn every aspect of our daily lives.

Technological advances have benefited our world in immeasurable ways, but there is an ominous flip side: our technology can be turned against us. Hackers can activate baby monitors to spy on families, thieves are analyzing social media posts to plot home invasions, and stalkers are exploiting the GPS on smart phones to track their victims’ every move. We all know today’s criminals can steal identities, drain online bank accounts, and wipe out computer servers, but that’s just the beginning.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

The world’s leading economist of inequality presents a short but sweeping and surprisingly optimistic history of human progress toward equality despite crises, disasters, and backsliding, a perfect introduction to the ideas developed in his monumental earlier books.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

In The Attacker's Advantage, Charan reveals the upside of uncertainty for those leaders who are nimbly positioned to anticipate the catalysts of disruption and embrace change. He updates and adapts the principles of his previous best sellers to address the current turbulent business environment, cutting through the veil of complexity to concentrate on the new customer needs and expectations and providing the tools for corporate leaders to take their companies to a higher level.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.

Facebook's founding is legend: In a Harvard dorm, wunderkind Mark Zuckerberg invented a new way to connect with friends...and the rest is history. But for the people who actually molded this great idea into a game-changing $300 billion company, the experience was far more tumultuous and uncertain than we might expect. Mike Hoefflinger was one of those Facebook insiders.

How can great companies do everything right - identify real customer needs, deliver excellent innovations, beat their competitors to market - and still fail? The sad truth is that many companies fail because they focus too intensely on their own innovations, and then neglect the innovation ecosystems on which their success depends. In our increasingly interdependent world, winning requires more than just delivering on your own promises. It means ensuring that a host of partners - some visible, some hidden - deliver on their promises, too.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

What do Google, Snapchat, Tinder, Amazon, and Uber have in common, besides soaring market share? They're platforms - a new business model that has quietly become the only game in town. A platform, by definition, creates value by facilitating an exchange between two or more interdependent groups. So, rather than making things, they simply connect people. The advent of mobile computing and its ubiquitous connectivity have forever altered how we interact with each other. Yet, few people truly grasp the radical structural shifts of the last 10 years.

Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.

When scholars write the history of the world twenty years from now, what will they say was the most crucial development in the first few years of the twenty-first century? The attacks on the World Trade Center on 9/11 and the Iraq war? Or the convergence of technology and events that allowed India, China, and so many other countries to become part of the global supply chain for services and manufacturing, creating an explosion of wealth in the middle classes of the world's two biggest nations?

Jeff Lawson, developer turned CEO of Twilio (one of Bloomberg Businessweek's Top 50 Companies to Watch in 2021), creates a new playbook for unleashing the full potential of software developers in any organization, showing how to help management utilize this coveted and valuable workforce to enable growth, solve a wide range of business problems, and drive digital transformation.

“What would Jeff do?” Since leaving Amazon to advise start-ups and corporations, John Rossman has been asked this question countless times by executives who want to know “the secret” behind Amazon’s historic success. In this step-by-step guide, he provides 50½ answers drawn from his experience as an Amazon executive - and shows today’s business leaders how to think like Amazon, strategize like Bezos, and beat the competition like nobody’s business.

Based on an acclaimed professor's legendary strategy course at Harvard Business School, The Strategist offers a radically new perspective on a leader's most vital role. "Are you a strategist?" That's the first question Cynthia Montgomery asks the business owners and senior executives from all over the world who participate in her highly regarded executive education course. It's not a question they anticipate, but by the time the program ends, they cannot imagine leading their companies to success without being - and living the role of - a strategist.

Imagine what Atari might have achieved if Steve Jobs had stayed there to develop the first massmarket personal computer. Or what Steve Case might have done for PepsiCo if he hadn't left for a gaming start-up that eventually became AOL. What if Salomon Brothers had kept Michael Bloomberg, or Bear Stearns had exploited the inventive ideas of Stephen Ross? Scores of top-tier entrepreneurs worked for established corporations before they struck out on their own and became self-made billionaires.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

Imagine what Atari might have achieved if Steve Jobs had stayed there to develop the first massmarket personal computer. Or what Steve Case might have done for PepsiCo if he hadn't left for a gaming start-up that eventually became AOL. What if Salomon Brothers had kept Michael Bloomberg, or Bear Stearns had exploited the inventive ideas of Stephen Ross? Scores of top-tier entrepreneurs worked for established corporations before they struck out on their own and became self-made billionaires.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

In their book Abundance, best-selling authors and futurists Peter Diamandis and Steven Kotler tackled grand global challenges, such as poverty, hunger, and energy. Then, in Bold, they chronicled the use of exponential technologies that allowed the emergence of powerful new entrepreneurs. Now the best-selling authors are back with The Future Is Faster Than You Think, a blueprint for how our world will change in response to the next 10 years of rapid technological disruption.

His work is cited by the world's best-known thought leaders, from Steve Jobs to Malcolm Gladwell. In this classic best seller - one of the most influential business books of all time - innovation expert Clayton Christensen shows how even the most outstanding companies can do everything right - yet still lose market leadership. Christensen explains why most companies miss out on new waves of innovation.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.